This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 681–700 of 1041 papers
Yang Yu
This paper develops a coupled model of flexibility resources and power market trading in a new power system. It integrates a PSO-LS-SVM price prediction model and a bi-level optimization model incorporating carbon, green certificates, and c…
Lianbiao Cui, Guofeng Song, Mei Duan
This paper proposes a method for allocating carbon emissions to municipalities within China's provincial budget system. It integrates equity, efficiency, and regional preferences, offering insights for carbon budget management policy in Chi…
Lizhen Wu, Haofei Liu, Xiping Ma +1
This paper proposes a low-carbon economic dispatch scheme for virtual power plants (VPPs) by exploiting the temporal and spatial flexibility of data center workloads. It introduces a 'source-load-storage' coordinated scheduling architecture…
Guangsheng Zhang, Ran Yan, Zhaomin Zhang +2
This paper analyzes emission reduction decision-making in a shipping logistics service supply chain under carbon cap-and-trade, focusing on AI technology adoption. It models cost-sharing contracts (one-way and two-way) between service provi…
Zhangrong Pan, Yuexin Wang, Junhong Guo +5
This study develops a system dynamics model for China's carbon, energy use rights, and electricity markets (ternary system). It identifies three key mechanisms: price signal transmission, dual regulatory constraints, and mutual quota recogn…
Debin Fang, Heng Zhou, Pengyu Wang +1
This study optimizes wind-solar-gas-storage integrated energy systems under carbon and green certificate markets. Results show that simultaneous implementation of CET and GCT reduces operating costs by up to 50.2% and carbon emissions by 29…
Kaihua Wang, Yu Han, Bao-chang Xu +1
This study employs rolling-window estimation to analyze dynamic causalities between China's carbon emission price (CEP) and new energy industry (NEI). Results show CEP positively affects NEI during external shocks (e.g., COVID-19) but also …
Joana Žukauskienė, Vytautas Snieška
This study investigates the relationship between carbon tax revenue and GDP in the EU. While existing research focuses on emission reductions or social use of revenues, the impact on GDP remains unclear. This paper reveals the economic cons…
Naufal Firdaus, Atina Husnaqilati
This study compares carbon price linkages with major commodities in Indonesia's nascent IDX Carbon market and the mature EU ETS using correlation analysis, clustering, random matrix theory, and VAR. Results show Indonesia's market is noise-…
Xiaoping Yang, Mengfan Zhang, Yilin Ma +2
This study examines whether China's carbon emissions trading policy (CETP) boosts foreign direct investment (FDI). Using panel data for 260 cities and a difference-in-differences approach, it finds that CETP significantly increases FDI infl…
Pierre Coster, Julian di Giovanni, Isabelle Méjean
This post presents evidence that French firms increased imports of high-emission inputs from outside the EU ETS, undermining the carbon tax's effectiveness and causing carbon leakage. The EU plans to implement a carbon tariff in 2026 to add…
Wei Tai, Qi Wang, Yi Tang +1
This paper proposes an Energy–Carbon–Cyber Collaborative Optimization (ECCO) framework for integrated energy systems that balances economic dispatch, carbon emission constraints, and cybersecurity against false data injection attacks. A bil…
Kai Sun, Xitao Fan
This paper develops a hybrid forecasting model for carbon emission allowance prices using China Carbon Emissions Trading Exchange data from July 2021 to March 2025. It integrates VMD-CEEMDAN decomposition, GARCH-MIDAS, and CNN-BiLSTM-Attent…
Juan Li, Yibo Li, Mei Sun +1
This study uses a multiregional CGE model and the 3E3S framework to analyze the provincial impacts of carbon taxes and emissions trading in China's cement industry. Policies reduce GDP but improve carbon intensity and CCS adoption, while wi…
Adrián Ferreras
This paper examines how EU ETS allowance prices reshape the link between corporate environmental performance (CEP) and growth expectations (Tobin's Q). Using a panel of 1370 listed firms across 15 European countries from 2005 to 2024, it co…
Kuang-Yen Chung, Rong-Her Chiu
This study proposes a fuzzy multi-goal optimization model for green supply chain planning under carbon taxation and demand uncertainty. Using a real electronics supply chain case, it demonstrates that carbon taxes and green investments redu…
Xinglei Liu, Jun Liu, Lei Wu +3
This paper proposes a carbon-centric hybrid-game robust planning model for multiple integrated energy systems (IESs) under higher-order uncertainties. It integrates inter-IES Nash bargaining with dynamic carbon trading and intra-IES Stackel…
Mayan Raika
This study uses a survey of 100 respondents and literature review to examine whether the costs of achieving net zero by 2050 are justified. The public shows reasonable awareness but concerns over short-term costs and social equity. Carbon t…
Liu-wei Zhao, Shuai Jin
This study analyzes price competition and carbon reduction technology cooperation in a blockchain-enabled remanufacturing supply chain using game theory. It reveals that a hybrid non-cooperative-cooperative model balances pricing and carbon…
Hua Tang, Jiayi Wang, Yue Liu +2
This study develops a multidimensional valuation methodology for China's Certified Emission Reduction (CCER), proposing probabilistic models under the income approach and GBM and LSTM models under the market approach. Systematic comparison …
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